As a data scientist at Booz Allen, help turn complex data sets into useful information to solve global challenges across private and public sectors, from fraud detection to cancer research to national intelligence, by finding answers in the data.
Requirements
- 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 5+ years of experience with statistical and general-purpose programming languages for data analysis
- 5+ years of experience analyzing structured and unstructured data sources
- Experience developing predictive data models, quantitative analyses and visualization of targeted data sources
- Experience leading the development of solutions to complex programs
- Experience with natural language processing, text mining, or machine learning techniques
- Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
- Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Responsibilities
- help turn these complex data sets into useful information to solve global challenges
- find the answers in the data
- work closely with clients to understand their questions and needs
- dig into their data-rich environments to find the pieces of their information puzzle
- guide teammates and lead the development of algorithms and systems
- use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions
- provide a deep understanding of the data, what it all means, and how it can be used
Other
- Secret clearance
- Bachelor’s degree
- TS/SCI clearance
- As part of the application process, you are expected to be on camera during interviews and assessments.
- We reserve the right to take your picture to verify your identity and prevent fraud.
